Business Analyst (Global Commercial Operations)
Amgen
Business Analyst (Global Commercial Operations)
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
What you will do
- Collaborate with global commercial operations Business SMEs, Data Engineers, Data Scientists and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Data & AI Product Teams
- Become a global commercial operations domain authority in Data & AI technology capabilities by researching, deploying, and sustaining features built according to Amgen’s Quality System
- Lead the voice of the customer assessment to define business processes and product needs
- Work with Product Managers and customers to define scope and value for new developments
- Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog
- Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs
- Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team
- Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog
- Ensure Acceptance Criteria and Definition of Done are well-defined
- Work closely with Business SME’s, Data Scientists, ML Engineers to understand the requirements around Data product requirements, KPI’s etc. Analyzing the source systems and create the STTM documents
- Develop and implement effective product demonstrations for internal and external partners
- Maintain accurate documentation of configurations, processes, and changes
- Understand end-to-end data pipeline design and dataflow
- Apply knowledge of data structures to diagnose data issues for resolution by data engineering team
What we expect of you
- Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree and 12 to 17 years of experience in global commercial operations Information Systems
Must-Have Skills
- Must-Have Skills: Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies
- Experience with Agile software development methodologies (Scrum)
- Superb communication skills and the ability to work with senior leadership with confidence and clarity
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in managing product features for PI planning and developing product roadmaps and user journeys
- Understanding of data and analytics software systems strategy, governance, and infrastructure
- Familiarity with low-code, no-code test automation software
- Technical thought leadership
- Able to communicate technical or complex subject matters in business terms
- Jira Align experience
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodology
- Soft Skills: Able to work under minimal supervision
- Excellent analytical and gap/fit assessment skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
- Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)
- AWS (similar cloud-based platforms)
- Experience with design patterns, data structures, test-driven development
- Knowledge of NLP techniques for text analysis and sentiment analysis
Good-to-Have Skills
- Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Must-Have Skills: Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologiesintermediate
- Experience with Agile software development methodologies (Scrum)intermediate
- Superb communication skills and the ability to work with senior leadership with confidence and clarityintermediate
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRAintermediate
- Experience in managing product features for PI planning and developing product roadmaps and user journeysintermediate
- Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology conceptsintermediate
- Understanding of data and analytics software systems strategy, governance, and infrastructureintermediate
- Familiarity with low-code, no-code test automation softwareintermediate
- Technical thought leadershipintermediate
- Able to communicate technical or complex subject matters in business termsintermediate
- Jira Align experienceintermediate
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodologyintermediate
- Soft Skills: Able to work under minimal supervisionintermediate
- Excellent analytical and gap/fit assessment skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
- Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)intermediate
- AWS (similar cloud-based platforms)intermediate
- Experience with design patterns, data structures, test-driven developmentintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
Required Qualifications
- Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree and 12 to 17 years of experience in global commercial operations Information Systems (experience)
Responsibilities
- Collaborate with global commercial operations Business SMEs, Data Engineers, Data Scientists and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Data & AI Product Teams
- Become a global commercial operations domain authority in Data & AI technology capabilities by researching, deploying, and sustaining features built according to Amgen’s Quality System
- Lead the voice of the customer assessment to define business processes and product needs
- Work with Product Managers and customers to define scope and value for new developments
- Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog
- Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs
- Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team
- Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog
- Ensure Acceptance Criteria and Definition of Done are well-defined
- Work closely with Business SME’s, Data Scientists, ML Engineers to understand the requirements around Data product requirements, KPI’s etc. Analyzing the source systems and create the STTM documents
- Develop and implement effective product demonstrations for internal and external partners
- Maintain accurate documentation of configurations, processes, and changes
- Understand end-to-end data pipeline design and dataflow
- Apply knowledge of data structures to diagnose data issues for resolution by data engineering team
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
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Answer 10 quick questions to check your fit for Business Analyst (Global Commercial Operations) @ Amgen.
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Business Analyst (Global Commercial Operations)
Amgen
Business Analyst (Global Commercial Operations)
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
What you will do
- Collaborate with global commercial operations Business SMEs, Data Engineers, Data Scientists and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Data & AI Product Teams
- Become a global commercial operations domain authority in Data & AI technology capabilities by researching, deploying, and sustaining features built according to Amgen’s Quality System
- Lead the voice of the customer assessment to define business processes and product needs
- Work with Product Managers and customers to define scope and value for new developments
- Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog
- Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs
- Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team
- Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog
- Ensure Acceptance Criteria and Definition of Done are well-defined
- Work closely with Business SME’s, Data Scientists, ML Engineers to understand the requirements around Data product requirements, KPI’s etc. Analyzing the source systems and create the STTM documents
- Develop and implement effective product demonstrations for internal and external partners
- Maintain accurate documentation of configurations, processes, and changes
- Understand end-to-end data pipeline design and dataflow
- Apply knowledge of data structures to diagnose data issues for resolution by data engineering team
What we expect of you
- Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree and 12 to 17 years of experience in global commercial operations Information Systems
Must-Have Skills
- Must-Have Skills: Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies
- Experience with Agile software development methodologies (Scrum)
- Superb communication skills and the ability to work with senior leadership with confidence and clarity
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA
- Experience in managing product features for PI planning and developing product roadmaps and user journeys
- Understanding of data and analytics software systems strategy, governance, and infrastructure
- Familiarity with low-code, no-code test automation software
- Technical thought leadership
- Able to communicate technical or complex subject matters in business terms
- Jira Align experience
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodology
- Soft Skills: Able to work under minimal supervision
- Excellent analytical and gap/fit assessment skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills
- Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)
- AWS (similar cloud-based platforms)
- Experience with design patterns, data structures, test-driven development
- Knowledge of NLP techniques for text analysis and sentiment analysis
Good-to-Have Skills
- Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts
What you can expect of us
- Competitive benefits
- Collaborative culture
- Support for professional and personal growth and well-being
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Must-Have Skills: Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologiesintermediate
- Experience with Agile software development methodologies (Scrum)intermediate
- Superb communication skills and the ability to work with senior leadership with confidence and clarityintermediate
- Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRAintermediate
- Experience in managing product features for PI planning and developing product roadmaps and user journeysintermediate
- Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology conceptsintermediate
- Understanding of data and analytics software systems strategy, governance, and infrastructureintermediate
- Familiarity with low-code, no-code test automation softwareintermediate
- Technical thought leadershipintermediate
- Able to communicate technical or complex subject matters in business termsintermediate
- Jira Align experienceintermediate
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodologyintermediate
- Soft Skills: Able to work under minimal supervisionintermediate
- Excellent analytical and gap/fit assessment skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
- Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets)intermediate
- AWS (similar cloud-based platforms)intermediate
- Experience with design patterns, data structures, test-driven developmentintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
Required Qualifications
- Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree and 12 to 17 years of experience in global commercial operations Information Systems (experience)
Responsibilities
- Collaborate with global commercial operations Business SMEs, Data Engineers, Data Scientists and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Data & AI Product Teams
- Become a global commercial operations domain authority in Data & AI technology capabilities by researching, deploying, and sustaining features built according to Amgen’s Quality System
- Lead the voice of the customer assessment to define business processes and product needs
- Work with Product Managers and customers to define scope and value for new developments
- Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog
- Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs
- Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team
- Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog
- Ensure Acceptance Criteria and Definition of Done are well-defined
- Work closely with Business SME’s, Data Scientists, ML Engineers to understand the requirements around Data product requirements, KPI’s etc. Analyzing the source systems and create the STTM documents
- Develop and implement effective product demonstrations for internal and external partners
- Maintain accurate documentation of configurations, processes, and changes
- Understand end-to-end data pipeline design and dataflow
- Apply knowledge of data structures to diagnose data issues for resolution by data engineering team
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Support for professional and personal growth and well-being
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Answer 10 quick questions to check your fit for Business Analyst (Global Commercial Operations) @ Amgen.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs